Blind source separation (bss) of underwater acoustic signal
| dc.contributor.author | Muhammad Nor Fikrie Bin Seman | |
| dc.date.accessioned | 2021-02-19T04:31:00Z | |
| dc.date.available | 2021-02-19T04:31:00Z | |
| dc.date.issued | 2019-06 | |
| dc.description.abstract | Acoustics underwater signal is an interaction of mechanical waves contribute in the water. The mechanical waves consist of fish voices and interference sounds. Based on research, natural sounds and mankind sounds are considered as interference. The problem that want to be solve are to separate the targeted signal from interferences and to minimize the bandwidth of unwanted signal by using Blind Source Separation (BSS) technique. There were many implementations by using BSS techniques especially for scientist, biologist, researchers also military but not much in application implementation. In this project is focus on how to separate acoustics underwater signal using BSS algorithm and develop an apps for underwater signal separation. By applying BSS techniques will able to separate and minimize the interferences. Thus, the user-friendly is developed to lighten ecologist, biologist or researchers to analyse the separation signal. In this project, it can be concluded that FastICA negentropy more capable to separate huge number of signals compare to FastICA kurtosis. This based on SIR measurement result shows that FastICA negentropy more positive values than FastICA kurtosis. | en_US |
| dc.identifier.uri | http://hdl.handle.net/123456789/11402 | |
| dc.language.iso | en | en_US |
| dc.title | Blind source separation (bss) of underwater acoustic signal | en_US |
| dc.type | Other | en_US |
Files
License bundle
1 - 1 of 1
Loading...
- Name:
- license.txt
- Size:
- 1.71 KB
- Format:
- Item-specific license agreed upon to submission
- Description: